nipalsMCIA
This is the development version of nipalsMCIA; for the stable release version, see nipalsMCIA.
Multiple Co-Inertia Analysis via the NIPALS Method
Bioconductor version: Development (3.21)
Computes Multiple Co-Inertia Analysis (MCIA), a dimensionality reduction (jDR) algorithm, for a multi-block dataset using a modification to the Nonlinear Iterative Partial Least Squares method (NIPALS) proposed in (Hanafi et. al, 2010). Allows multiple options for row- and table-level preprocessing, and speeds up computation of variance explained. Vignettes detail application to bulk- and single cell- multi-omics studies.
Author: Maximilian Mattessich [cre] (ORCID:
Maintainer: Maximilian Mattessich <maximilian.mattessich at northwestern.edu>
citation("nipalsMCIA")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("nipalsMCIA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("nipalsMCIA")
Analysis of MCIA Decomposition | HTML | R Script |
Predicting New MCIA scores | HTML | R Script |
Single Cell Analysis | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Classification, Clustering, MultipleComparison, Normalization, Preprocessing, SingleCell, Software |
Version | 1.5.1 |
In Bioconductor since | BioC 3.18 (R-4.3) (1 year) |
License | GPL-3 |
Depends | R (>= 4.3.0) |
Imports | ComplexHeatmap, dplyr, fgsea, ggplot2 (>= 3.0.0), graphics, grid, methods, MultiAssayExperiment, SummarizedExperiment, pracma, rlang, RSpectra, scales, stats |
System Requirements | |
URL | https://github.com/Muunraker/nipalsMCIA |
Bug Reports | https://github.com/Muunraker/nipalsMCIA/issues |
See More
Suggests | BiocFileCache, BiocStyle, circlize, ggpubr, KernSmooth, knitr, piggyback, reshape2, rmarkdown, rpart, Seurat (>= 4.0.0), spatstat.explore, stringr, survival, tidyverse, testthat (>= 3.0.0) |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | nipalsMCIA_1.5.1.tar.gz |
Windows Binary (x86_64) | nipalsMCIA_1.5.1.zip |
macOS Binary (x86_64) | nipalsMCIA_1.5.1.tgz |
macOS Binary (arm64) | nipalsMCIA_1.5.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/nipalsMCIA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/nipalsMCIA |
Bioc Package Browser | https://code.bioconductor.org/browse/nipalsMCIA/ |
Package Short Url | https://bioconductor.org/packages/nipalsMCIA/ |
Package Downloads Report | Download Stats |